Building ML-powered apps, analytics dashboards, and data-driven solutions
- 📊 Aspiring Data Analyst & ML Enthusiast
- 🏗 Building data-driven projects and ML-powered web applications
- 🤖 Focused on Data Analytics, Machine Learning, and real-world problem solving
- 📈 Experience in data cleaning, EDA, dashboard development, and predictive modeling
- 🌐 Developed projects like Diabetes Prediction Web App (Flask) and Supply Chain Analytics
- 💡 Interested in AI applications, business analytics, and decision-making using data
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, NLTK
- Supervised Learning, Unsupervised Learning
- Model Evaluation, NLP
- Hugging Face, LangChain
- Flask, REST APIs
- HTML, CSS, JavaScript
- SQL, MySQL, PostgreSQL, MongoDB, SQLite3
- Power BI, Tableau, Looker Studio, Excel
- Git, GitHub, Jupyter Notebook, Google Colab
- Deployment: Render
| Project | Description |
|---|---|
| ML Diabetes Predictor (Flask) | Built a machine learning web app to predict diabetes risk. Performed EDA, handled missing values & outliers, and deployed using Flask for real-time predictions. GitHub |
| Supply Chain Analytics | Analyzed shipment data to identify delivery delays, inefficiencies, and cost drivers using data analysis and visualization techniques. GitHub |
| AI Website Audit Agent | Developed an AI-based system to analyze websites and generate insights for performance and improvement using automation and AI concepts. GitHub |
| Bank Transaction Analysis | Performed data analysis on transaction data to identify spending patterns, anomalies, and financial insights. GitHub |
| Airline Booking System (SQLite3) | Designed and queried a relational database system for airline bookings using SQL and SQLite3. GitHub |
| Fitness Dashboard | Built a dashboard to track and visualize fitness data, helping users monitor performance and progress. GitHub |
